BCAS: A Web-enabled and GIS-based Decision Support System for the Diagnosis and Treatment of Breast Cancer

For decades, geographical variations in cancer rates have been observed but the precise determinants of such geographic differences in breast cancer development are unclear. Various statistical models have been proposed. Applications of these models, however, require that the data be assembled from a variety of sources, converted into the statistical models’ parameters and delivered effectively to researchers and policy makers. A web-enabled and GIS-based system can be developed to provide the needed functionality. This article overviews the conceptual web-enabled and GIS-based system (BCAS), illustrates the system’s use in diagnosing and treating breast cancer and examines the potential benefits and implications for breast cancer research and practice

A Mechanism-Centred Approach to Evaluating Complex Aid Interventions: The Case of Accompanying Measures to Budget Support

Background: Current methodological debates related to theory-based evaluations (TBE) centre around questions how to improve the explanatory strength of these approaches and how to integrate mechanisms as analytic concept. Particularly in complex aid interventions, when multiple elements are expected to interact and thus create an added value, exploring mechanisms as an analytical tool can be promising. Purpose: This paper seeks to contribute to the discussion on the use of TBE for evaluating complex aid interventions by sharing experiences from a recent evaluation of accompanying measures to general budget support. Setting: Nine countries of sub-Saharan Africa which have received German budget support, namely Burkina Faso, Ghana, Malawi, Mali, Mozambique, Rwanda, Tanzania, Uganda, Zambia. Intervention: Accompanying measures (mainly in the form of technical assistance and capacity development) are one element of the budget support package, which further encompasses financial contributions, policy dialogue, and conditionalities. Research Design: We focus on interrelations between different elements of budget support and apply a mechanism-centred approach to programme theory building, Data Collection and Analysis: After defining accompanying measures and integrating them into the intervention logic of budget support used in recent multi-donor evaluations, key mechanisms were identified on an explorative mission to Mozambique, validated in an online survey, and further discussed in expert interviews and during field research in Tanzania. Findings: For the specific example relating to two elements of budget support (policy dialogue and accompanying measures), some of the hypothesized mechanisms were found to create an added value and thus increase the effectiveness of budget support as a package. The applied approach helped generate a more comprehensive implementation theory and provided insights into potential benefits and challenges of combining different elements in one programme. Beyond its use for future evaluations in the field of budget support, we argue that TBE of complex interventions can benefit from adopting such a mechanism-centred approach to create a better understanding of how different elements of the programme interact. Moreover, the focus on mechanisms when analysing programme implementation enables evaluators to improve their empirical inquiry on the identified mechanisms and to draw valid conclusions on the programme’s contribution to the observed outcomes. Keywords: Theory-based evaluation; theory of change; development evaluation; budget support; technical assistance; capacity development

Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine

Although African patients use both conventional or modern and traditional healthcare simultaneously, it has been proven that 80% of people rely on African traditional medicine (ATM). ATM includes medical activities stemming from practices, customs and traditions which were integral to the distinctive African cultures. It is based mainly on the oral transfer of knowledge, with the risk of losing critical knowledge. Moreover, practices differ according to the regions and the availability of medicinal plants. Therefore, it is necessary to compile tacit, disseminated and complex knowledge from various Tradi-Practitioners (TP) in order to determine interesting patterns for treating a given disease. Knowledge engineering methods for traditional medicine are useful to model suitably complex information needs, formalize knowledge of domain experts and highlight the effective practices for their integration to conventional medicine. The work described in this paper presents an approach which addresses two issues. First it aims at proposing a formal representation model of ATM knowledge and practices to facilitate their sharing and reusing. Then, it aims at providing a visual reasoning mechanism for selecting best available procedures and medicinal plants to treat diseases. The approach is based on the use of the Delphi method for capturing knowledge from various experts which necessitate reaching a consensus. Conceptual graph formalism is used to model ATM knowledge with visual reasoning capabilities and processes. The nested conceptual graphs are used to visually express the semantic meaning of Computational Tree Logic (CTL) constructs that are useful for formal specification of temporal properties of ATM domain knowledge. Our approach presents the advantage of mitigating knowledge loss with conceptual development assistance to improve the quality of ATM care (medical diagnosis and therapeutics), but also patient safety (drug monitoring)

Pilot Evaluation of the Mexican Model of Dual TVET in the State of Mexico

Since the first public announcement of the Mexican Model of Dual TVET (MMFD) in June 2013, more than 5,000 apprentices have enrolled in the programme and around 2,000 already graduated. The Ministry of Education (SEP and CONALEP), the Chambers of Commerce (i.e. COPARMEX) and the German Cooperation Agencies (i.e. CAMEXA) have been collaborating with state authorities, families, schools and companies to turn this initial idea into a significant and sustainable initiative. Although the numbers are still small, it seemed necessary to undertake a pilot evaluation study of the implementation and impact of this program on its participants to inform those responsible for this policy. We decided to focus our study on the State of Mexico because of the higher number of apprentices in this state and because of the access that the CONALEP authorities gave us to the informants. The report that you are about to read is structured in four main sections. In the first one we reviewed the international evidence on the experiences of policy transfer of Dual TVET. Transferring international good practice sin TVET is always a complex process that requires careful attention to the experiences and lessons from those that tried to do it before. In the second section, we present the main characteristics of the Mexican Model of Dual TVET and the specificities of its implementation in the State of Mexico. In a federal country like Mexico, it is important to understand that national policies may largely vary across states in terms of design and implementation. The third section outlines the methodology of the study, which is inspired by the realist evaluation principles. Realist evaluation, not only tries to measure the impact of interventions on beneficiaries, but also to understand the causal mechanisms that explain why this policy is more effective in certain contexts and with certain beneficiary populations than in others. In the final section, the results of the interviews and the survey with 25 apprentices that completed their studies under the MMFD in the State of Mexico are presented. Obviously, the reduced sample of the study limits the representativeness of our findings but it will offer some expected and unexpected results that should not be ignored by those involved in this policy in the State of Mexico and nationally

Layered evaluation of interactive adaptive systems : framework and formative methods

Peer reviewedPostprin

Meta-evaluations in government and government institutions: A case study example from the Australian Centre for International Agricultural Research

In this paper we draw on impact assessment work of the Australian Centre for International Agricultural Research (ACIAR) to present an example of meta-evaluation – an evaluation of evaluations – in an agricultural research, development and extension setting. We explore quality issues relating to evaluation studies in the context of government institutions. Program evaluation standards (PES) are divided into categories of utility, feasibility, propriety and accuracy to provide a framework for the meta-evaluation. The PES are presented as a universal measure of evaluation study quality. The intent of using them here is to judge the adequacy of PES as a universal quality measure or meta-evaluation base and to extract useful insights from ACIAR program evaluation activities when developing a meta-evaluation model for the Limpopo Department of Agriculture (LDA). Our meta-evaluation is undertaken of 63 impact assessment reports. First, the literature guiding the conduct of a meta-evaluation is reviewed. Second, an assessment (the meta-evaluation) of the evaluation studies is carried out for 19 sampled reports from a population of relevant reports fitting the dimension of the analysis, and results are presented and discussed. Also, lessons learned are presented, using the framework provided by the meta-evaluation criteria. Third, taking into account the lessons learned, implications are drawn for a proposed systematic meta-evaluation of the LDA. Finally, we conclude that all the PES cannot be equally emphasized in a meta-evaluation model. At ACIAR, 70% of the standards were at least partially addressed. Therefore, we succeeded in using the PES in judging the ACIAR evaluation quality. As such, they can be an important base when developing an evaluation model but should be applied in a contextualized manner.Meta-evaluation, Evaluation Quality, Program Evaluation Standards, Evaluation Model, Australian Centre for International Agricultural Research, Limpopo Department of Agriculture (South Africa), International Development,

Incorporating stakeholders’ knowledge in group decision-making

International audienc